A basic example of image classification with PyTorch, included with instructions on how to re-create results and the performance of the best performing model
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Updated
Apr 19, 2024 - Python
A basic example of image classification with PyTorch, included with instructions on how to re-create results and the performance of the best performing model
6th Inter-IIT Tech Meet 2018
A model build for the brain tumor segmentation using Brain MRI.
Tumors detections on MRI slice using semantic segmentation.
Denoising of both MRI and CT images in Python
Brain cancer classification with 98.2% accuracy
k-space weighting and masking for denoising of MRI image without blurring or losing contrast, as well as for brightening of the objects in the image with simultaneous noise reduction (on the example of Agilent FID data). (Python 3)
To ensure a better diagnosis of patients, doctors may need to look at multiple MRI scans. What if only one type of MRI needs to be done and others can be auto-generated? Generative Adversarial Networks (GANs) have been used for generating deepfakes, new fashion styles and high-resolution pictures from the low-resolution ones
A visualisation tool for making a 3d head out of MRI brain scans
Simulating T1- and T2-weighted MRI images with arbitrary values of TI or TE, respectively. (Python 3)
Whole-body magnetic resonance image classification using deep learning models in PyTorch
3D Slicer Extensions for 4D Flow MRI
Kaggle Competion MRI segmentation
Simulating T1-weighted saturation recovery MRI images for arbitrary values of TR from a set of T1-weighted inversion recovery MRI images. (Python 3)
Machine Learning code to extract information from 3D MRI brain scans
my thesis works on mri image segmentation of brain tumour using deep learning models
Multimodal Context-Aware Detection of Glioma Biomarkers using MRI and WSI
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